Top Tech Jobs & Startup Jobs in Dublin

Support the Sales Team with key customer account management, sales performance tracking, forecasts, order books, customer data, presentations, reports, and seasonal go-to-market activities. Collaborate with Marketing, Merchandising, Supply Chain, Customer Service, and Finance while contributing to process improvements and commercial initiatives.

Leads PUMA’s eCommerce studio and owns visual direction, image quality, brand alignment, shoot scheduling, sample management, workflow improvement, equipment readiness, staffing, team development, AI-assisted content integration, and budget oversight. Directs production, art direction, styling, and postproduction teams while coordinating with global content and India operations teams to deliver consistent, high-quality imagery at scale.

Develop and maintain cross-platform consumer mobile applications using React Native, TypeScript, and JavaScript. Build reusable components, integrate REST and GraphQL APIs, implement state management, optimize performance, troubleshoot crashes, support testing and CI/CD releases, and apply accessibility and usability principles. Collaborate with product, design, QA, and engineering teams in Agile delivery environments while contributing to code reviews, experiments, and engineering standards.

Leads commercial analytics and business intelligence for global eCommerce by extracting enterprise data, identifying trends and performance drivers, and creating executive-ready Power BI dashboards, reporting views, and insight narratives. Defines KPI architecture and measurement logic, supports data-quality and reporting standards, and collaborates with data, BI, engineering, and commercial analytics teams to deliver trusted, actionable insights.

Lead quality engineering for membership and loyalty capabilities, designing and executing functional, integration, API, contract, automation, and end-to-end tests. Build reliable test suites, validate loyalty points and personalized recommendations, manage test data, ensure cross-browser and cross-device quality, define testing strategies, and improve coverage using AI-assisted tools. Collaborate with engineering and product teams throughout the software development lifecycle while leading quality engineers in the loyalty and personalization area.

Leads business insights for global eCommerce by analyzing commercial performance across merchandising, pricing, marketing, CRM, content, supply chain, and customer behavior. Identifies anomalies, root causes, risks, and opportunities through hypothesis-led analysis, then delivers prioritized recommendations and executive-ready data stories. Partners with cross-functional and market teams to support performance reviews, planning, and commercial decision-making.

Build scalable, low-latency backend APIs, event-driven services, integration layers, and microservices supporting personalization and recommendation experiences. Partner with AI/ML and data engineers to deploy models, expose AI services, and develop React applications. Improve security, observability, reliability, performance, scalability, and operational efficiency while using AI-assisted engineering tools to enhance delivery and code quality.

Build and operate scalable, low-latency backend services, APIs, event-driven systems, integrations, and frontend applications supporting membership, loyalty, rewards, and consumer engagement. Configure and integrate Antavo with commerce, CRM, CDP, marketing, and data platforms. Apply secure, observable, resilient engineering practices, troubleshoot production issues, and optimize performance. The role requires strong Java and Spring Boot expertise, plus working knowledge of React, Node.js, Kafka, and SQL/NoSQL databases.

Build scalable, low-latency backend APIs, event-driven services, model-serving layers, and integrations supporting real-time and batch personalization and recommendation experiences. Design reliable, secure, observable distributed systems using Java and Spring Boot, optimize performance and operational efficiency, and integrate LLM and AI services into production applications. Collaborate with engineering leadership and use AI-assisted development tools to improve delivery and code quality.

Designs and executes functional, integration, API, automated, exploratory, and end-to-end tests for personalization, recommendation, experimentation, and consumer intelligence capabilities. Builds test suites, validates AI-driven outputs and consumer journeys, manages test data, performs cross-browser testing, partners with engineering and product teams, and improves automation coverage, regression efficiency, and defect detection.